A sanitized cloud-transformation case study exploring how an enterprise application and its supporting infrastructure can be assessed, redesigned and migrated from Amazon Web Services to Microsoft Azure.
This architecture is independently recreated and sanitized for portfolio and learning purposes. It contains no confidential client information, proprietary code, internal architecture diagrams, production credentials, account identifiers or employer assets.
Enterprise applications depend on networking, identity, compute, storage, databases, security controls, monitoring and many supporting services.
Moving an application from AWS to Azure is not simply a matter of copying workloads from one cloud platform to another.
The existing environment must first be understood, application dependencies identified, cloud services mapped, security requirements evaluated and a suitable Azure target architecture designed.
The migration must also consider availability, networking, identity, data movement, observability, Infrastructure as Code and post-migration validation.
Transition application workloads from AWS capabilities to appropriate Microsoft Azure services.
Preserve strong identity, network segmentation, encryption and least-privilege access throughout the migration.
Use Infrastructure as Code principles to build repeatable and consistent Azure environments.
Establish logging, monitoring, validation and operational visibility before production cutover.
A structured migration process reduces uncertainty and allows architecture, security and operational requirements to be evaluated before cutover.
EXISTING AWS ENVIRONMENT
│
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Application Discovery
│
▼
Dependency Assessment
│
▼
AWS → Azure Mapping
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Target Architecture
│
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Terraform / IaC
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Migration Execution
│
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Security & Identity Validation
│
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Testing & Cutover
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POST-MIGRATION STATE
Migration planning begins by understanding the existing application and the AWS services supporting it.
The discovery process can include compute resources, VPC architecture, security groups, storage, databases, IAM dependencies, DNS, monitoring, load balancing and application communication paths.
Understand application components, runtime requirements and communication between services.
Identify compute, storage, database, networking and supporting cloud services.
Review identity permissions, network controls, secrets, encryption and security dependencies.
Migration requires understanding the architectural role of each AWS service and selecting an appropriate Azure capability rather than relying only on one-to-one product replacement.
The destination environment should be designed as an Azure architecture rather than simply reproducing the source AWS environment.
USERS
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Azure DNS
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Application Gateway / LB
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┌────────────────────┐
│ Azure Virtual │
│ Network │
│ │
│ Web / App Tier │
│ │ │
│ ▼ │
│ Private Services │
└────────┬───────────┘
│
┌───────────┼────────────┐
│ │ │
▼ ▼ ▼
Azure SQL Blob Storage Key Vault
│
▼
Azure Monitor
│
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Centralized Visibility
IDENTITY & ACCESS LAYER
───────────────────────
Microsoft Entra ID
+
Azure RBAC
Establish Azure VNet address spaces and subnets based on application and security requirements.
Separate application components and control communication using subnet design and Network Security Groups.
Where appropriate, reduce unnecessary public exposure and use private connectivity patterns for platform services.
Identity models differ between cloud providers, so permissions should be reassessed during migration rather than copied conceptually from one platform to another.
Azure access can be designed around Microsoft Entra ID identities, managed identities, Azure RBAC roles and least-privilege access.
Infrastructure as Code enables cloud environments to be defined, reviewed and deployed consistently.
Terraform Configuration
│
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Azure Provider
│
┌──────────────┼──────────────┐
│ │ │
▼ ▼ ▼
Resource Group VNet Security
│ │ │
▼ ▼ ▼
Compute Subnets NSGs
│ │
└───────┬──────┘
▼
Application Platform
│
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Azure Environment
Apply least-privilege access using Entra ID, Azure RBAC and managed identities.
Use segmentation, NSGs and controlled ingress and egress patterns.
Protect application secrets and sensitive configuration using Azure Key Vault.
Establish operational and security visibility through Azure Monitor and centralized logging.
Migration execution should follow a controlled sequence so that infrastructure, application components, data, connectivity and security controls are validated before production traffic is moved to the new environment.
Confirm that application functionality behaves as expected in Azure.
Validate application communication, DNS, network paths and required dependencies.
Verify access controls, NSGs, secrets and least-privilege permissions.
Confirm monitoring, logging, alerting and operational visibility.
AWS Production Environment
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Final Synchronization
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Validation Gate
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DNS / Traffic
Cutover
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Azure Production
Environment
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Post-Cutover Checks
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Monitoring
Production migration planning should include a rollback strategy in case validation identifies critical application, connectivity, data or security issues during cutover.
Rollback criteria, decision points and recovery procedures should be established before production traffic is transitioned.
A successful cloud-to-cloud migration is not simply a transfer of resources.
It is an opportunity to reassess application dependencies, redesign infrastructure, improve security controls, introduce automation and build an environment aligned with the destination cloud platform.